Environmental Biodynamics

Manish Arora is the Edith J Baerwald Professor and Vice Chair of Environmental Medicine and Public Health at the Mount Sinai School of Medicine in New York where he directs a program at the intersection of exposure sciences, environmental epidemiology, and public health to study the environmental determinants of health and disease. Along with Drs. Alessandro Giuliani and Paul Curtin, he is credited with postulating the Biodynamic Interface Conjecture, a theoretical framework to study complex system interactions through the lens of temporal dynamics. In 2015, he was recognized with the Presidential Early Career Award for Scientists and Engineers by President Barack Obama, the highest award that the United States confers on early career scientists.Paul Curtin, is Assistant Professor of Environmental Medicine and Public Health at the Mount Sinai School of Medicine in New York. Dr. Curtin's work focuses on the interface of Systems Biology, Computational Neuroscience, and Exposure Biology. He is an author of several dozen papers in these and related fields, and leads nationally-funded projects focusing on the role of environmental factors in neurodevelopment. With co-authors and collaborators on Environmental Biodynamics, he has contributed to the development of the Biodynamic Interface Conjecture and related theoretical perspectives dealing with the interactions of complex systems.Austen Curtin is a computational biologist and data scientist in the department of Environmental Medicine and Public Health at the Mount Sinai School of Medicine in New York. Her work focuses on the integration of dynamical computational methods in contexts relating to exposure biology and neurodevelopment. She has contributed to many peer-reviewed papers in these fields and continues to work on methodological advances in these domains.Christine Austin is Assistant Professor in the Department of Environmental Medicine and Public Health at Mount Sinai School of Medicine in New York. She received her PhD from the University of Technology, Sydney, Australia in 2011, specializing in elemental bioimaging of tissues using laser ablation-inductively coupled plasma-mass spectrometry. She completed postdoctoral training at the University of Sydney, Australia and the Icahn School of Medicine at Mount Sinai, USA. Dr. Austin's research focus is developing novel analytical techniques to reconstruct histories of environmental exposures throughout life, including the prenatal and early childhood periods.Alessandro Giuliani is Senior Scientist at the Istituto Superiore di Sanità (Italian NIH). He is involved mainly in the generation and testing of soft physical and statistical models for life sciences, with a special emphasis on the elucidation of mesoscopic complex systems like network approach to protein structure/function, quantitative structure/activity relations in medicinal chemistry, analysis of physiological time series, and biophysical approaches to gene expression regulation. He is the author of many publications on a wide spectrum of research fields and has a solid teaching experience in applied statistics and research methodology.Linda S. Birnbaum is Scientist Emeritus and Former Director of the National Institute of Environmental Health Sciences and National Toxicology Program. She is also Scholar in Residence at the Nicholas School of the Environment at Duke University.

• Foreword by Linda S. BirnbaumPrefaceChapter 1: Introduction to Environmental Biodynamics Chapter 2: The Lens of "Thingness": Structuralism, Reductionism and Simplicity Chapter 3: The Shape of Change: Complexity, Organization, and ChaosChapter 4: The Process of Interdependence: Temporal Dynamics of Biodynamic Interfaces Chapter 5: The Geometry of Health: Patterns, Structures, Forms, and Constraints Chapter 6: The Layers of Life: Emergent Complexity and Self-OrganizationAppendix: Operationalizing Environmental Biodynamics

This good treatise calls attention to limitations of current approaches and extolls a more comprehensive approach to collecting and analyzing data.